The Internet of Things has become an abstract discussion of billions of connected devices and information streaming to make data-driven decisions. Broadly speaking, this topic is how to transform your business through an efficiency analysis, increasing the level of automation, potentially adding another revenue stream or new business model to personalized or customized products and services. An IoT enabled solution in connected manufacturing includes connectivity, intelligence, pattern analysis and ultimately, predictability. Predictive maintenance should be seen as predictive algorithms to extend the life of the machine akin to a doctor-patient relationship and lifetime extension. In assessing a patient, we have to look at the holistic view of health as we would with IoT, the true value will lie in an integrated end-to-end on the manufacturing floor and each connected component has a incremental IoT value. IoT or connected manufacturing is literally “connecting” Operational Technology (OT) and Informational Technology (IT), meaning production and core business processes have end-to-end visibility or what is known as visibility from the shop floor to the top floor. This presentation will focus on the first step of connecting a broader visibility from the operator to the maintenance technician and top floor and mapping this information back to its core business processes in order to increase efficiencies and reliability. Companies are running extremely lean with less resources and smaller and more stringent CAPEX spend. Understand the technology and human inputs required at every step of the value chain to produce tangible, immediate results with continuous monitoring, automated reporting, integrated into workflow and service to unlock intelligent maintenance. Plant personnel, OEM vibration service monitoring and IIoT collaboration examples will be illustrated.
Dan Yarmoluk is the business and market development lead for ATEK’s IoT products which include TankScan and AssetScan. Dan has been involved in analytics, embedded design and components of mobile products for over a decade with a focus on creating and driving IIoT automation, condition monitoring and predictive maintenance programs with technology with how analytics and business models intersect to drive added value and digital transformation. Industries served include: oil and gas, refining, chemical, precision agriculture, food, pulp and paper, mining, transportation, filtration, field services and distribution. He publishes frequently and is launching “All Things Data” podcast in July with The University of St. Thomas and Dr. Manjeet Rege. He has an MBA and a Master’s of Data Science. Dan can be reached at email@example.com.